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. 2019 Aug 8;2:300. doi: 10.1038/s42003-019-0522-3

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© The Author(s) 2019

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 2 — Simulation for determining standard deviations of AUC in MOCCS2. a Shown are 10,000 patterns of cumulative relative frequency curves calculated from random histograms with appearance counts indicated above individual graphs. b Standard deviations (SDs) of AUC calculated from indicated patterns of random histograms (y axis) were plotted against appearance counts (x axis), and well fitted with an exponential equation “Y = 71.303 × X^−0.5”. See also Supplementary Fig. 2 for 5000 and 1000 patterns of the cumulative relative frequency curves